Modelling Probabilistic Wireless Networks

(Extended Abstract)
  • Andrea Cerone
  • Matthew Hennessy
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7273)

Abstract

We propose a process calculus to model distributed wireless networks. The calculus focuses on high-level behaviour, emphasising local broadcast communication and probabilistic behaviour.

Our formulation of such systems emphasises their interfaces, through which their behaviour can be observed and tested, although this complicates their contextual analysis. Nevertheless we propose a novel operator with which networks can be decomposed into components. Using this operator we define probabilistic generalisations of the well-known may-testing and must-testing preorders.

We define an extensional probabilistic labelled transition system in which actions represent particular interactions networks support via their interfaces. We show that novel variations on probabilistic simulations support compositional reasoning for these networks which are sound with respect to the testing preorders. Finally, and rather surprisingly, we show that these simulations turn out not to be complete.

Keywords

Wireless Network Composition Operator Wireless System Medium Access Control Protocol Probabilistic Simulation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© IFIP International Federation for Information Processing 2012

Authors and Affiliations

  • Andrea Cerone
    • 1
  • Matthew Hennessy
    • 1
  1. 1.Department of Statistics and Computer ScienceTrinity CollegeDublinIreland

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